



'''simple docstring'''

import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type

from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iterators import ThreadedIterator
from tqdm import tqdm


SCREAMING_SNAKE_CASE__     :						Tuple	=  re.compile('''[^A-Za-z_0-9]''')
# parameters used in DuplicationIndex
SCREAMING_SNAKE_CASE__     :						str	=  1_0
SCREAMING_SNAKE_CASE__     :						Union[str, Any]	=  2_5_6






def 				a  (     UpperCamelCase_    :    List[str]			)       ->	Optional[MinHash]:
		if len(UpperCamelCase_			) < MIN_NUM_TOKENS:
				return None
		snake_case__	     =MinHash(num_perm=UpperCamelCase_			)
		for token in set(UpperCamelCase_			):
				min_hash.update(token.encode()			)
		return min_hash






def 				a  (     UpperCamelCase_    :    str			)       ->	Set[str]:
		return {t for t in NON_ALPHA.split(UpperCamelCase_			) if len(t.strip()			) > 0}

class 							a__:






			def __init__(     self					,   *,
			    _UpperCAmelCase = 0.85					,   )							->							Union[str, Any]:
					snake_case__	     =duplication_jaccard_threshold
					snake_case__	     =NUM_PERM
					snake_case__	     =MinHashLSH(threshold=self._duplication_jaccard_threshold					,   num_perm=self._num_perm						)

					snake_case__	     =defaultdict(_UpperCAmelCase						)






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase						)							->							None:
					snake_case__	     =self._index.query(_UpperCAmelCase						)
					if code_key in self._index.keys:
							print(f"""Duplicate key {code_key}"""						)
							return

					self._index.insert(_UpperCAmelCase					,   _UpperCAmelCase						)
					if len(_UpperCAmelCase						) > 0:
							for base_duplicate in close_duplicates:
									if base_duplicate in self._duplicate_clusters:
											self._duplicate_clusters[base_duplicate].add(_UpperCAmelCase						)
											break
							else:
									self._duplicate_clusters[close_duplicates[0]].add(_UpperCAmelCase						)






			def 						_lowercase  (     self						)							->							List[List[Dict]]:
					snake_case__	     =[]
					for base, duplicates in self._duplicate_clusters.items():
							snake_case__	     =[base] + list(_UpperCAmelCase						)
							# reformat the cluster to be a list of dict
							snake_case__	     =[{'base_index': el[0], 'repo_name': el[1], 'path': el[2]} for el in cluster]
							duplicate_clusters.append(_UpperCAmelCase						)
					return duplicate_clusters






			def 						_lowercase  (     self					,   _UpperCAmelCase						)							->							None:
					snake_case__	     =self.get_duplicate_clusters()
					with open(_UpperCAmelCase					,   'w'						) as f:
							json.dump(_UpperCAmelCase					,   _UpperCAmelCase						)






def 				a  (     UpperCamelCase_    :    Any			)       ->	Any:
		snake_case__     ,	snake_case__	     =element
		snake_case__	     =get_min_hash([t for t in NON_ALPHA.split(data['content']			) if len(t.strip()			) > 0]			)
		if min_hash is not None:
				return (index, data["repo_name"], data["path"]), min_hash






def 				a  (     UpperCamelCase_    :    Type[Dataset]			)       ->	Tuple:
		with mp.Pool() as pool:
				for data in pool.imap_unordered(
				    _compute_min_hash      ,					ThreadedIterator(UpperCamelCase_      ,					max_queue_size=10000			)      ,					chunksize=100      ,					):
						if data is not None:
								yield data






def 				a  (     UpperCamelCase_    :    Type[Dataset]      ,					UpperCamelCase_    :    float			)       ->	Optional[Any]:
		snake_case__	     =DuplicationIndex(duplication_jaccard_threshold=UpperCamelCase_			)

		for filename, min_hash in tqdm(ThreadedIterator(minhash_iter(enumerate(UpperCamelCase_			)			)      ,					max_queue_size=100			)			):
				di.add(UpperCamelCase_      ,					UpperCamelCase_			)

		# Returns a List[Cluster] where Cluster is List[str] with the filenames.
		return di.get_duplicate_clusters()






def 				a  (     UpperCamelCase_    :    str      ,					UpperCamelCase_    :    str			)       ->	float:
		snake_case__	     =get_tokens(UpperCamelCase_			)
		snake_case__	     =get_tokens(UpperCamelCase_			)
		return len(tokensa & tokensa			) / len(tokensa | tokensa			)


SCREAMING_SNAKE_CASE__     :						Optional[int]	=  None






def 				a  (     UpperCamelCase_    :    int      ,					UpperCamelCase_    :    Optional[int]			)       ->	Tuple:
		snake_case__	     =[]
		for elementa in cluster:
				snake_case__	     =_shared_dataset[elementa['base_index']]['content']
				for elementa in extremes:
						snake_case__	     =_shared_dataset[elementa['base_index']]['content']
						if jaccard_similarity(UpperCamelCase_      ,					UpperCamelCase_			) >= jaccard_threshold:
								elementa["copies"] += 1
								break
				else:
						snake_case__	     =1
						extremes.append(UpperCamelCase_			)
		return extremes






def 				a  (     UpperCamelCase_    :    Optional[Any]      ,					UpperCamelCase_    :    Union[str, Any]      ,					UpperCamelCase_    :    List[str]			)       ->	List[Any]:
		global _shared_dataset
		snake_case__	     =dataset
		snake_case__	     =[]
		snake_case__	     =partial(_find_cluster_extremes_shared      ,					jaccard_threshold=UpperCamelCase_			)
		with mp.Pool() as pool:
				for extremes in tqdm(
				    pool.imap_unordered(
				        UpperCamelCase_      ,					UpperCamelCase_      ,					)      ,					total=len(UpperCamelCase_			)      ,					):
						extremes_list.append(UpperCamelCase_			)
		return extremes_list






def 				a  (     UpperCamelCase_    :    Type[Dataset]      ,					UpperCamelCase_    :    float = 0.8_5			)       ->	Tuple[Type[Dataset], List[List[Dict]]]:
		snake_case__	     =make_duplicate_clusters(UpperCamelCase_      ,					UpperCamelCase_			)
		snake_case__	     ={x['base_index'] for cluster in duplicate_clusters for x in cluster}
		snake_case__	     ={}
		snake_case__	     =find_extremes(UpperCamelCase_      ,					UpperCamelCase_      ,					UpperCamelCase_			)
		for extremes in extremes_clusters:
				for element in extremes:
						snake_case__	     =element
		snake_case__	     =duplicate_indices - set(extreme_dict.keys()			)
		snake_case__	     =dataset.filter(lambda UpperCamelCase_      ,					UpperCamelCase_			: idx not in remove_indices      ,					with_indices=UpperCamelCase_			)

		# update duplicate_clusters
		for cluster in duplicate_clusters:
				for element in cluster:
						snake_case__	     =element['base_index'] in extreme_dict
						if element["is_extreme"]:
								snake_case__	     =extreme_dict[element['base_index']]['copies']

		print(f"""Original dataset size: {len(UpperCamelCase_			)}"""			)
		print(f"""Number of duplicate clusters: {len(UpperCamelCase_			)}"""			)
		print(f"""Files in duplicate cluster: {len(UpperCamelCase_			)}"""			)
		print(f"""Unique files in duplicate cluster: {len(UpperCamelCase_			)}"""			)
		print(f"""Filtered dataset size: {len(UpperCamelCase_			)}"""			)

		return ds_filter, duplicate_clusters









'''simple docstring'''

import collections
import os
import re
from pathlib import Path


SCREAMING_SNAKE_CASE__     :						List[Any]	=  '''src/transformers'''


# Matches is_xxx_available()
SCREAMING_SNAKE_CASE__     :						List[str]	=  re.compile(r'''is\_([a-z_]*)_available()''')
# Catches a one-line _import_struct = {xxx}
SCREAMING_SNAKE_CASE__     :						Optional[Any]	=  re.compile(r'''^_import_structure\s+=\s+\{([^\}]+)\}''')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
SCREAMING_SNAKE_CASE__     :						List[str]	=  re.compile(r'''\s+"\S*":\s+\[([^\]]*)\]''')
# Catches a line if not is_foo_available
SCREAMING_SNAKE_CASE__     :						List[str]	=  re.compile(r'''^\s*if\s+not\s+is\_[a-z_]*\_available\(\)''')
# Catches a line _import_struct["bla"].append("foo")
SCREAMING_SNAKE_CASE__     :						Union[str, Any]	=  re.compile(r'''^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)''')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
SCREAMING_SNAKE_CASE__     :						Tuple	=  re.compile(r'''^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]''')
# Catches a line with an object between quotes and a comma:     "MyModel",
SCREAMING_SNAKE_CASE__     :						Any	=  re.compile(r'''^\s+"([^"]+)",''')
# Catches a line with objects between brackets only:    ["foo", "bar"],
SCREAMING_SNAKE_CASE__     :						List[Any]	=  re.compile(r'''^\s+\[([^\]]+)\]''')
# Catches a line with from foo import bar, bla, boo
SCREAMING_SNAKE_CASE__     :						Optional[int]	=  re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')
# Catches a line with try:
SCREAMING_SNAKE_CASE__     :						str	=  re.compile(r'''^\s*try:''')
# Catches a line with else:
SCREAMING_SNAKE_CASE__     :						Any	=  re.compile(r'''^\s*else:''')






def 				a  (     UpperCamelCase_    :    Dict			)       ->	List[str]:
		if _re_test_backend.search(UpperCamelCase_			) is None:
				return None
		snake_case__	     =[b[0] for b in _re_backend.findall(UpperCamelCase_			)]
		backends.sort()
		return "_and_".join(UpperCamelCase_			)






def 				a  (     UpperCamelCase_    :    List[Any]			)       ->	Tuple:
		with open(UpperCamelCase_      ,					'r'      ,					encoding='utf-8'      ,					newline='\n'			) as f:
				snake_case__	     =f.readlines()

		snake_case__	     =0
		while line_index < len(UpperCamelCase_			) and not lines[line_index].startswith('_import_structure = {'			):
				line_index += 1

		# If this is a traditional init, just return.
		if line_index >= len(UpperCamelCase_			):
				return None

		# First grab the objects without a specific backend in _import_structure
		snake_case__	     =[]
		while not lines[line_index].startswith('if TYPE_CHECKING'			) and find_backend(lines[line_index]			) is None:
				snake_case__	     =lines[line_index]
				# If we have everything on a single line, let's deal with it.
				if _re_one_line_import_struct.search(UpperCamelCase_			):
						snake_case__	     =_re_one_line_import_struct.search(UpperCamelCase_			).groups()[0]
						snake_case__	     =re.findall(r'\[([^\]]+)\]'      ,					UpperCamelCase_			)
						for imp in imports:
								objects.extend([obj[1:-1] for obj in imp.split(', '			)]			)
						line_index += 1
						continue
				snake_case__	     =_re_import_struct_key_value.search(UpperCamelCase_			)
				if single_line_import_search is not None:
						snake_case__	     =[obj[1:-1] for obj in single_line_import_search.groups()[0].split(', '			) if len(UpperCamelCase_			) > 0]
						objects.extend(UpperCamelCase_			)
				elif line.startswith(' ' * 8 + '"'			):
						objects.append(line[9:-3]			)
				line_index += 1

		snake_case__	     ={'none': objects}
		# Let's continue with backend-specific objects in _import_structure
		while not lines[line_index].startswith('if TYPE_CHECKING'			):
				# If the line is an if not is_backend_available, we grab all objects associated.
				snake_case__	     =find_backend(lines[line_index]			)
				# Check if the backend declaration is inside a try block:
				if _re_try.search(lines[line_index - 1]			) is None:
						snake_case__	     =None

				if backend is not None:
						line_index += 1

						# Scroll until we hit the else block of try-except-else
						while _re_else.search(lines[line_index]			) is None:
								line_index += 1

						line_index += 1

						snake_case__	     =[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index]			) <= 1 or lines[line_index].startswith(' ' * 4			):
								snake_case__	     =lines[line_index]
								if _re_import_struct_add_one.search(UpperCamelCase_			) is not None:
										objects.append(_re_import_struct_add_one.search(UpperCamelCase_			).groups()[0]			)
								elif _re_import_struct_add_many.search(UpperCamelCase_			) is not None:
										snake_case__	     =_re_import_struct_add_many.search(UpperCamelCase_			).groups()[0].split(', '			)
										snake_case__	     =[obj[1:-1] for obj in imports if len(UpperCamelCase_			) > 0]
										objects.extend(UpperCamelCase_			)
								elif _re_between_brackets.search(UpperCamelCase_			) is not None:
										snake_case__	     =_re_between_brackets.search(UpperCamelCase_			).groups()[0].split(', '			)
										snake_case__	     =[obj[1:-1] for obj in imports if len(UpperCamelCase_			) > 0]
										objects.extend(UpperCamelCase_			)
								elif _re_quote_object.search(UpperCamelCase_			) is not None:
										objects.append(_re_quote_object.search(UpperCamelCase_			).groups()[0]			)
								elif line.startswith(' ' * 8 + '"'			):
										objects.append(line[9:-3]			)
								elif line.startswith(' ' * 12 + '"'			):
										objects.append(line[13:-3]			)
								line_index += 1

						snake_case__	     =objects
				else:
						line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
		snake_case__	     =[]
		while (
		    line_index < len(UpperCamelCase_			)
		    and find_backend(lines[line_index]			) is None
		    and not lines[line_index].startswith('else'			)
		):
				snake_case__	     =lines[line_index]
				snake_case__	     =_re_import.search(UpperCamelCase_			)
				if single_line_import_search is not None:
						objects.extend(single_line_import_search.groups()[0].split(', '			)			)
				elif line.startswith(' ' * 8			):
						objects.append(line[8:-2]			)
				line_index += 1

		snake_case__	     ={'none': objects}
		# Let's continue with backend-specific objects
		while line_index < len(UpperCamelCase_			):
				# If the line is an if is_backend_available, we grab all objects associated.
				snake_case__	     =find_backend(lines[line_index]			)
				# Check if the backend declaration is inside a try block:
				if _re_try.search(lines[line_index - 1]			) is None:
						snake_case__	     =None

				if backend is not None:
						line_index += 1

						# Scroll until we hit the else block of try-except-else
						while _re_else.search(lines[line_index]			) is None:
								line_index += 1

						line_index += 1

						snake_case__	     =[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index]			) <= 1 or lines[line_index].startswith(' ' * 8			):
								snake_case__	     =lines[line_index]
								snake_case__	     =_re_import.search(UpperCamelCase_			)
								if single_line_import_search is not None:
										objects.extend(single_line_import_search.groups()[0].split(', '			)			)
								elif line.startswith(' ' * 12			):
										objects.append(line[12:-2]			)
								line_index += 1

						snake_case__	     =objects
				else:
						line_index += 1

		return import_dict_objects, type_hint_objects






def 				a  (     UpperCamelCase_    :    int      ,					UpperCamelCase_    :    List[Any]			)       ->	Union[str, Any]:

		def find_duplicates(UpperCamelCase_    :    Tuple			):
				return [k for k, v in collections.Counter(UpperCamelCase_			).items() if v > 1]

		if list(import_dict_objects.keys()			) != list(type_hint_objects.keys()			):
				return ["Both sides of the init do not have the same backends!"]

		snake_case__	     =[]
		for key in import_dict_objects.keys():
				snake_case__	     =find_duplicates(import_dict_objects[key]			)
				if duplicate_imports:
						errors.append(f"""Duplicate _import_structure definitions for: {duplicate_imports}"""			)
				snake_case__	     =find_duplicates(type_hint_objects[key]			)
				if duplicate_type_hints:
						errors.append(f"""Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"""			)

				if sorted(set(import_dict_objects[key]			)			) != sorted(set(type_hint_objects[key]			)			):
						snake_case__	     ='base imports' if key == 'none' else f"""{key} backend"""
						errors.append(f"""Differences for {name}:"""			)
						for a in type_hint_objects[key]:
								if a not in import_dict_objects[key]:
										errors.append(f"""  {a} in TYPE_HINT but not in _import_structure."""			)
						for a in import_dict_objects[key]:
								if a not in type_hint_objects[key]:
										errors.append(f"""  {a} in _import_structure but not in TYPE_HINT."""			)
		return errors






def 				a  (     )       ->	Optional[Any]:
		snake_case__	     =[]
		for root, _, files in os.walk(UpperCamelCase_			):
				if "__init__.py" in files:
						snake_case__	     =os.path.join(UpperCamelCase_      ,					'__init__.py'			)
						snake_case__	     =parse_init(UpperCamelCase_			)
						if objects is not None:
								snake_case__	     =analyze_results(*UpperCamelCase_			)
								if len(UpperCamelCase_			) > 0:
										snake_case__	     =f"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
										failures.append('\n'.join(UpperCamelCase_			)			)
		if len(UpperCamelCase_			) > 0:
				raise ValueError('\n\n'.join(UpperCamelCase_			)			)






def 				a  (     )       ->	Dict:
		snake_case__	     =[]
		for path, directories, files in os.walk(UpperCamelCase_			):
				for folder in directories:
						# Ignore private modules
						if folder.startswith('_'			):
								directories.remove(UpperCamelCase_			)
								continue
						# Ignore leftovers from branches (empty folders apart from pycache)
						if len(list((Path(UpperCamelCase_			) / folder).glob('*.py'			)			)			) == 0:
								continue
						snake_case__	     =str((Path(UpperCamelCase_			) / folder).relative_to(UpperCamelCase_			)			)
						snake_case__	     =short_path.replace(os.path.sep      ,					'.'			)
						submodules.append(UpperCamelCase_			)
				for fname in files:
						if fname == "__init__.py":
								continue
						snake_case__	     =str((Path(UpperCamelCase_			) / fname).relative_to(UpperCamelCase_			)			)
						snake_case__	     =short_path.replace('.py'      ,					''			).replace(os.path.sep      ,					'.'			)
						if len(submodule.split('.'			)			) == 1:
								submodules.append(UpperCamelCase_			)
		return submodules


SCREAMING_SNAKE_CASE__     :						Union[str, Any]	=  [
    '''convert_pytorch_checkpoint_to_tf2''',
    '''modeling_flax_pytorch_utils''',
    '''models.esm.openfold_utils''',
]






def 				a  (     )       ->	Union[str, Any]:
		# This is to make sure the transformers module imported is the one in the repo.
		from transformers.utils import direct_transformers_import

		snake_case__	     =direct_transformers_import(UpperCamelCase_			)

		snake_case__	     =set(transformers._import_structure.keys()			)
		# This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
		# some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
		# (potentiall re-) add them.
		with open(os.path.join(UpperCamelCase_      ,					'__init__.py'			)      ,					'r'			) as f:
				snake_case__	     =f.read()
		import_structure_keys.update(set(re.findall(r'import_structure\[\"([^\"]*)\"\]'      ,					UpperCamelCase_			)			)			)

		snake_case__	     =[
		    module
		    for module in get_transformers_submodules()
		    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
		]

		if len(UpperCamelCase_			) > 0:
				snake_case__	     ='\n'.join(f"""- {module}""" for module in module_not_registered			)
				raise ValueError(
				    'The following submodules are not properly registed in the main init of Transformers:\n'
				    f"""{list_of_modules}\n"""
				    'Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.'			)


if __name__ == "__main__":
			check_all_inits()
			check_submodules()




